PCIC SCIENCE BRIEF : SPREAD IN MODEL CLIMATE SENSITIVITY TRACED TO ATMOSPHERIC CONVECTIVE MIXING
PCIC SCIENCE BRIEF : SPREAD IN MODEL CLIMATE SENSITIVITY TRACED TO ATMOSPHERIC CONVECTIVE MIXING
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1. Here 'likely' is defined as having an assessed likelihood of 66-100%. 2. These figures are from the Technical Summary of Working Group One's contribution to the Fifth Assessment Report of the IPCC. This Summary is available—along with the full report and a high-level overview document, the Summary for Policymakers—from the IPCC's website: part of the Earth's atmosphere that is closest to and directly affected by the ocean's surface, generally about 1 km to 2 km thick. 5. Here, σ is a standard deviation, a measure of the spread from the average of the measurements. For the 2σ range, about 95.4% of observations will lie within the shading if observations have a bell-shaped " normal " probability distribution. The magnitude of the impacts that are projected to occur as a result of anthropogenic climate change depend, in part, on the magnitude and rate of the changes to the climate system. These, in turn, depend largely on how sensitive the climate system is to changes in the concentration of atmospheric greenhouse gases. The equilibrium climate sensitivity of the Earth's climate system, often just referred to as " climate sensitivity, " is defined as the amount of warming that would eventually be seen in the Earth's average surface temperature if the atmospheric concentration of carbon dioxide were to be doubled and then held constant. The Intergovernmental Panel on Climate Change (IPCC) states that the likely 1 range 2 of climate sensitivity , from observations, studies of climate feedback mechanisms, paleoclimate data (such as ice cores and tree rings) and Global Climate Models (GCMs) is between 1.5 °C to 4.5 °C. The mean value for modern GCMs is 3.2 °C and the models that most closely simulate the modern climate have values in the range of 3 °C to 4 °C. Using satellite observations, reanalysis data and GCM output from models that participated in the third and fifth phases of the Coupled Model Intercomparison Project 3 (CMIP3 and CMIP5), Sherwood, Bony and Dufresne (2014) examine how much of the variation in GCM climate sensitivity between GCMs can be explained by the differing ability of the models to represent vertical mixing of the atmosphere. The vertical mixing that they analyze in is made up of two shallow (~ 5 km), vertical, overturning air circulation patterns that dry the marine boundary layer 4 , which reduces the formation of low clouds that cool the Earth …